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ISTQB CT-PT Exam Syllabus Topics:

Topic
Details

Topic 1

Types of Performance Testing: This section of the exam measures the skills of Software Test Analysts and covers various approaches such as load, stress, scalability, spike, endurance, concurrency, and capacity testing. It explains how each type evaluates system behavior under different conditions, helping testers and stakeholders understand how the system handles both expected and extreme usage scenarios.

Topic 2

Testing Types in Performance Testing: This section of the exam introduces the distinction between static and dynamic performance testing. It shows how reviews of requirements, architecture, and code can identify risks before coding is complete, and how runtime checks of resource utilization and response times reveal issues that only appear when the system is in operation.

Topic 3

The Concept of Load Generation: This section of the exam measures the skills of Software Test Analysts and discusses how representative loads are modeled and produced to simulate user or process behavior. It explores methods such as user interface inputs, crowdsourcing, API-based calls, or protocol capture and playback, emphasizing the need for repeatable loads that accurately reflect real-world conditions.

Topic 4

Common Failures in Performance Testing and Their Causes: This section of the exam measures the skills of Performance Engineers and outlines frequent failure modes, including slow responses at various load levels, degraded performance over time, and system crashes under peak conditions. It provides examples of underlying causes such as resource leaks, insufficient capacity, and poor handling of spikes or concurrency, illustrating why robust planning and monitoring are crucial for reliable performance.

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ISTQB Certified Tester - Performance Testing Sample Questions (Q11-Q16):

NEW QUESTION # 11
You are managing a project that is testing a system that manages a newly redesigned jet engine for heavy aircraft. Given the fact that this engine is specifically engineered to reduce noise, it is important that the software maintains enough thrust for lift for a period of 5 minutes without exceeding 87.5dB. The software must achieve this independent of other internal systems such as fuel or navigation management.
Given the risk for the ability of the aircraft to meet the noise abatement regulations while still being able to fly, when is the optimum time in the software lifecycle to apply the performance testing?

A. Preferably during each phase in the lifecycle
B. Preferably during system integration testing
C. Preferably at the end of system testing
D. Preferably at the end of unit testing

Answer: A

Explanation:
Performance testing should be integrated into every phase of the software lifecycle to ensure that critical performance requirements (such as thrust-to-noise ratio) are met early and continuously validated.
Option B (End of system testing) is too late, as issues may be costly to fix at that stage.
Option C (During system integration testing) is useful but not comprehensive enough.
Option D (At the end of unit testing) is incorrect because unit tests do not assess overall system performance.

NEW QUESTION # 12
Which of the following is a best practice to include in performance test scripts when verifying results?

A. Increase the number of scripts executed to provide greater coverage.
B. Verify that correct information was added to the database.
C. Add transaction timers to collect response times.
D. Hold the development team accountable for system performance.

Answer: B

NEW QUESTION # 13
Which of the following is a key challenge when testing applications in a cloud environment?

A. Inability to generate significant load
B. Limited ability to control test execution timing
C. Test execution speed being too high
D. Lack of user behavior simulation tools

Answer: B

Explanation:
One of the biggest challenges of cloud-based performance testing is the lack of control over test execution timing due to shared cloud resources. Cloud environments dynamically allocate computing power, meaning that test execution may vary due to background processes, VM migrations, or auto-scaling events.
Option B (Inability to generate load) is incorrect because cloud platforms can scale up resources to generate high loads.
Option C (Lack of behavior simulation tools) is incorrect because cloud providers offer robust testing tools.
Option D (Test execution speed being too high) is not a valid performance testing challenge.

NEW QUESTION # 14
Which of the following is an advantage of using performance monitoring tools?

A. They proactively compile metrics from server logs.
B. They can proactively detect denial-of-service (DoS) attacks.
C. They can prevent malicious behavior.
D. They more easily identify and report multi-threading problems.

Answer: A

Explanation:
Performance monitoring tools collect real-time and historical performance data, particularly from server logs, application metrics, and infrastructure monitoring. This allows testers to analyze performance trends efficiently.
Option A is incorrect because monitoring tools do not prevent malicious behavior but may detect it.
Option C is incorrect since identifying multi-threading issues is typically done through profiling tools rather than performance monitors.
Option D is incorrect as DoS attack detection falls under security testing.

NEW QUESTION # 15
Which of the following is typically the result of oversaturation of system resources during performance testing?

A. Error logging will decrease.
B. The size of the database will gradually decrease.
C. Response time will gradually improve over a period of time.
D. Response time will be slow under significant load levels.

Answer: D

Explanation:
When system resources (e.g., CPU, RAM, I/O) are oversaturated, the system becomes overloaded, leading to increased response times and poor application performance.
Option A (Gradual improvement of response time) is incorrect because performance degrades under heavy load.
Option C (Error logging decreases) is unlikely; in most cases, errors increase when systems reach their limits.
Option D (Database size decreases) is unrelated to performance saturation.

NEW QUESTION # 16
......

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